Detail publikace
Variational Approximation of Long-span Language Models for LVCSR
DEORAS, A. MIKOLOV, T. KOMBRINK, S. KARAFIÁT, M. KHUDANPUR, S.
Originální název
Variational Approximation of Long-span Language Models for LVCSR
Anglický název
Variational Approximation of Long-span Language Models for LVCSR
Jazyk
en
Originální abstrakt
We have presented experimental evidence that (n-gram) variational approximations of long-span LMs yield greater accuracy in LVCSR than standard n-gram models estimated from the same training text.
Anglický abstrakt
We have presented experimental evidence that (n-gram) variational approximations of long-span LMs yield greater accuracy in LVCSR than standard n-gram models estimated from the same training text.
Dokumenty
BibTex
@inproceedings{BUT76377,
author="Anoop {Deoras} and Tomáš {Mikolov} and Stefan {Kombrink} and Martin {Karafiát} and Sanjeev {Khudanpur}",
title="Variational Approximation of Long-span Language Models for LVCSR",
annote="We have presented experimental evidence that (n-gram) variational approximations
of long-span LMs yield greater accuracy in LVCSR than standard n-gram models
estimated from the same training text.",
address="IEEE Signal Processing Society",
booktitle="Proceedings of the 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011",
chapter="76377",
edition="NEUVEDEN",
howpublished="print",
institution="IEEE Signal Processing Society",
year="2011",
month="may",
pages="5532--5535",
publisher="IEEE Signal Processing Society",
type="conference paper"
}